The place where I page to when my brain is full up of stuff about the Microsoft platform

Tag: maml

In my last post and generally I like to talk up how useful a data science approach is to understanding your data but in this post I want to sound a note of caution as it can be easy to get carried away and generally if the results look to good to be true that’s… Read more

In the dark days of the last millennium data scientists were serious statisticians using exotic hardware, expensive software and were largely isolated from the rest of the organisations they worked for. Today the cloud and open source languages like R & Python have made this technology available to anyone curious enough to be interested in… Read more

If you have ever watched the Star Trek First Contact film the crew allude to the fact that the star ship Enterprise is named after the first space shuttle, when actually it’s the other way around the first space shuttle was so named because over 2 million star trek fans lobbied NASA to call it… Read more

In my last post I hopefully explained that business intelligence works very well on Azure and with new services like the Azure Data Warehouse and Power BI (Not strictly part of Azure but a Microsoft online service). However while BI is good at showing some trends and how a limited number of factors affect that… Read more

Since I wrote this series we have taken on two computer science graduates in the evangelism team in the UK, Amy Nicholson and Bianca Furtuna. Both studied machine learning as part of their courses so I introduced them to this series on Azure ML to get them up to speed. They have taken this series… Read more

Before I get into my next post you may have noticed that ML has changed compared with a few weeks ago -the main page previews experiments differently, and the visualization of data has also changed.. One other problem hit me and that was some of the parts of my demo experiment didn’t work or ran… Read more

In this fourth post in my Azure Machine Learning series we are actually going to do the training itself. I have tidied up my experiment from last time to get rid of the modules to export data to SQL Azure as that has now served it’s purpose .. Before we get stuck into training there’s… Read more

In my last post we saw how to clean, transform and join datasets. I also mentioned I had trouble doing the join at all and even now it’s not quite right so how can we look at the data and find out what’s going on. The visualisation option only shows a few rows of the… Read more

In my last post we looked at how to load data into Microsoft Azure Machine Learning using the browser based ML Studio. We also started to look at the data around predicting delayed flights and identified some problems with it and this post is all about getting the data into the right shape to ensure… Read more

In my last post I split the process of using Microsoft Azure Machine Learning (MAML) down to four steps: Import the data Refine the data Build a model Put the model into production. Now I want to go deeper into each of these steps so that you can start to explore and evaluate how this… Read more